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http://dx.doi.org/10.1055/s-0043-125040 | DOI Listing |
J Cancer Res Ther
December 2024
No. 2 Department of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
Objective: This retrospective study aimed to determine the need for lymph node resection during surgical treatment in patients with stage IA non-small-cell lung cancer (NSCLC).
Materials And Methods: A total of 1428 patients diagnosed with cT1N0M0 1 A stage NSCLC who underwent surgery were divided into two groups: lymphadenectomy (n = 1324) and nonlymphadenectomy (n = 104). The effects of lymph node resection on overall survival (OS) and recurrence-free survival (RFS) and on clinicopathological factors that affected the prognosis of the patients were investigated.
Insights Imaging
January 2025
Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Objectives: To evaluate the value of contrast-enhanced CT in diagnosing ultrasonography-unspecified adnexal torsion (AT).
Methods: Surgically confirmed patients with painful pelvic masses (n = 165) were retrospectively collected from two institutes. Two senior radiologists independently reviewed the CT images and determined the Hounsfield unit difference between non-contrast vs portal venous phases (ΔHU) in both derivation and validation samples.
Discov Oncol
January 2025
Pathology Department, Salah Azeiz Institute, 1006, Tunis, Tunisia.
Follicular dendritic cell sarcoma (FDCS) is a rare malignancy, often challenging to diagnose due to its nonspecific presentation and resemblance to other neoplasms. This case highlights a locally advanced nasopharyngeal FDCS initially misdiagnosed as a meningioma, underscoring the importance of differential diagnosis in unusual tumor presentations. A 77-year-old patient presented with nasal obstruction for 3 months.
View Article and Find Full Text PDFRadiol Imaging Cancer
January 2025
From Case Western Reserve University School of Medicine, Cleveland, Ohio (A.M.); University of Pittsburgh School of Medicine, Pittsburgh, Pa (E.C.); and Department of Radiology, University Hospitals, 11000 Euclid Ave, Bolwell B2600, Cleveland, OH 44115 (K.B., N.R., S.H.T.).
Prostate cancer is the second most common malignancy among male individuals in the United States and requires careful imaging approaches because of its varied presentations. This review examines prostate cancer imaging guidelines from leading organizations, including the American College of Radiology, American Urological Association, European Association of Urology, American Society of Clinical Oncology, and National Comprehensive Cancer Network, and serves as a reference highlighting commonalities and divergences in current imaging recommendations across prostate cancer states. We outline these organizations and their methods, focusing on their approaches to panel expertise, guideline development, evidence grading, and revision schedules.
View Article and Find Full Text PDFRadiol Imaging Cancer
January 2025
Department of Radiology, University Medical Center Groningen, Groningen, the Netherlands.
Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) progression based on MRI and clinical parameters and compare it with established models. Materials and Methods This retrospective study included 1607 MRI scans of 1143 male patients (median age, 64 years; IQR, 59-68 years) undergoing MRI for suspicion of clinically significant PCa (csPCa) (International Society of Urological Pathology grade > 1) between January 2012 and May 2022 who were negative for csPCa at baseline MRI. A DL model was developed using baseline MRI and clinical parameters (age, prostate-specific antigen [PSA] level, PSA density, and prostate volume) to predict the time to PCa progression (defined as csPCa diagnosis at follow-up).
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